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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/78420

    Title: Fuzzy Folksonomy-based Index Creation for e-Learning Content Retrieval on Cloud Computing Environments
    Authors: 時文中;Shih, Wen-Chung;曾憲雄;Tseng, Shian-Shyong
    Contributors: 資訊多媒體應用學系
    Date: 2011.06
    Issue Date: 2013-12-26 18:10:18 (UTC+8)
    Abstract: Due to the trend of individualization and adaptation of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. Also, cloud computing environments are emerging as powerful infrastructures to support e-Learning applications. Therefore, how to rapidly retrieve SCORM-compliant documents on cloud computing environments has become an important issue. Creating an index from folksonomies has been investigated in previous researches; however, the involved uncertainty has not been addressed. This paper focuses on the fuzzy index creation problem for learning content retrieval. A bottom-up approach to constructing the fuzzy index is proposed. The index creation method has been implemented, and a synthetic learning object repository has been built on a Hadoop cloud platform to evaluate the proposed approach. Experimental results show that this method can increase precision of retrieval.
    Relation: FUZZ-IEEE 2011
    Appears in Collections:[行動商務與多媒體應用學系] 會議論文

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